Pulumi DevOps Engineer — Flexible Hours, Internship-Ready

Egreenservices

Biloxi (MS)

On-site

USD 40,000 - 63,000

Full time

10 days ago

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Benefits offered by this job

Coaching
Flexible hours
Benefits

Job summary

Premier Health Systems in Biloxi, MS seeks a DevOps Engineer fluent in Pulumi to own and maintain high-availability platforms. This role emphasizes ownership and practical learning, with internship hours included and a salary range of $40,000–$63,000 per year.

You will build responsive interfaces, troubleshoot production incidents in Kafka-based apps, automate pipelines, and optimize memory usage. The team values clear data-driven recommendations, steady delivery, and strong communication, with

Qualifications

  • Resilience demonstrated across technology cycles.
  • Ability to interpret data and translate findings into clear recommendations.
  • Sound judgment on escalation vs. independent handling.
  • Track record of delivering in an internship structure.
  • Storytelling skills that translate data into decisions.
  • Strong written and verbal communication under scrutiny.

Responsibilities

  • Build responsive, accessible front-end interfaces with Accountability
  • Troubleshoot and resolve production incidents across Apache Kafka-based applications
  • Automate build, test, and deployment pipelines for faster release cycles
  • Reverse-engineer the Growth Mindset format Premier Health Systems inherited and never documented
  • Profile Growth Mindset memory use and chase down the leaks crashing Biloxi nodes

Skills

Pulumi
Data interpretation
Escalation judgment
Internship experience
Storytelling
Communication

Tools

Apache Kafka

Job description

Premier Health Systems in Biloxi, MS seeks a DevOps Engineer fluent in Pulumi to own and maintain high-availability platforms. This role emphasizes ownership and practical learning, with internship hours included and a salary range of $40,000–$63,000 per year.

You will build responsive interfaces, troubleshoot production incidents in Kafka-based apps, automate pipelines, and optimize memory usage. The team values clear data-driven recommendations, steady delivery, and strong communication, with

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